Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wiebes
1
60 kgBalsamo
2
55 kgNorsgaard
3
65 kgKopecky
4
66 kgHenderson
5
58 kgGuazzini
7
65 kg
1
60 kgBalsamo
2
55 kgNorsgaard
3
65 kgKopecky
4
66 kgHenderson
5
58 kgGuazzini
7
65 kg
Weight (KG) →
Result →
66
55
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 2 | BALSAMO Elisa | 55 |
| 3 | NORSGAARD Emma | 65 |
| 4 | KOPECKY Lotte | 66 |
| 5 | HENDERSON Anna | 58 |
| 7 | GUAZZINI Vittoria | 65 |